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A
addEntry(String, String)
- Method in class org.jpmml.xgboost.
FeatureMap
addEntry(FeatureMap.Entry)
- Method in class org.jpmml.xgboost.
FeatureMap
addInvalidValue(String)
- Method in class org.jpmml.xgboost.
FeatureMap
addMissingValue(String)
- Method in class org.jpmml.xgboost.
FeatureMap
addValidValue(String)
- Method in class org.jpmml.xgboost.
FeatureMap
B
BINF_HEADER
- Static variable in class org.jpmml.xgboost.
XGBoostUtil
BinomialLogisticRegression
- Class in
org.jpmml.xgboost
BinomialLogisticRegression()
- Constructor for class org.jpmml.xgboost.
BinomialLogisticRegression
ByteOrderUtil
- Class in
org.jpmml.xgboost
C
Classification
- Class in
org.jpmml.xgboost
Classification(int)
- Constructor for class org.jpmml.xgboost.
Classification
cleft()
- Method in class org.jpmml.xgboost.
Node
close()
- Method in class org.jpmml.xgboost.
XGBoostDataInput
createMiningModel(List<RegTree>, List<Float>, float, Integer, Schema)
- Static method in class org.jpmml.xgboost.
ObjFunction
cright()
- Method in class org.jpmml.xgboost.
Node
D
Dart
- Class in
org.jpmml.xgboost
Dart()
- Constructor for class org.jpmml.xgboost.
Dart
default_left()
- Method in class org.jpmml.xgboost.
Node
E
encodeFeatures(PMMLEncoder)
- Method in class org.jpmml.xgboost.
FeatureMap
encodeLabel(FieldName, List<?>, PMMLEncoder)
- Method in class org.jpmml.xgboost.
Classification
encodeLabel(FieldName, List<?>, PMMLEncoder)
- Method in class org.jpmml.xgboost.
ObjFunction
encodeLabel(FieldName, List<?>, PMMLEncoder)
- Method in class org.jpmml.xgboost.
Regression
encodeMiningModel(List<RegTree>, List<Float>, float, Integer, Schema)
- Method in class org.jpmml.xgboost.
BinomialLogisticRegression
encodeMiningModel(ObjFunction, float, Integer, Schema)
- Method in class org.jpmml.xgboost.
GBTree
encodeMiningModel(List<RegTree>, List<Float>, float, Integer, Schema)
- Method in class org.jpmml.xgboost.
GeneralizedLinearRegression
encodeMiningModel(List<RegTree>, List<Float>, float, Integer, Schema)
- Method in class org.jpmml.xgboost.
HingeClassification
encodeMiningModel(List<RegTree>, List<Float>, float, Integer, Schema)
- Method in class org.jpmml.xgboost.
LambdaMART
encodeMiningModel(Map<String, ?>, Schema)
- Method in class org.jpmml.xgboost.
Learner
encodeMiningModel(List<RegTree>, List<Float>, float, Integer, Schema)
- Method in class org.jpmml.xgboost.
LinearRegression
encodeMiningModel(List<RegTree>, List<Float>, float, Integer, Schema)
- Method in class org.jpmml.xgboost.
LogisticRegression
encodeMiningModel(List<RegTree>, List<Float>, float, Integer, Schema)
- Method in class org.jpmml.xgboost.
MultinomialLogisticRegression
encodeMiningModel(List<RegTree>, List<Float>, float, Integer, Schema)
- Method in class org.jpmml.xgboost.
ObjFunction
encodePMML(Map<String, ?>, FieldName, List<String>, FeatureMap)
- Method in class org.jpmml.xgboost.
Learner
encodeSchema(FieldName, List<String>, FeatureMap, XGBoostEncoder)
- Method in class org.jpmml.xgboost.
Learner
encodeTreeModel(PredicateManager, Schema)
- Method in class org.jpmml.xgboost.
RegTree
enterNode(Node)
- Method in class org.jpmml.xgboost.visitors.
TreeModelCompactor
enterTreeModel(TreeModel)
- Method in class org.jpmml.xgboost.visitors.
TreeModelCompactor
Entry(String, String, FeatureMap.Entry.Type)
- Constructor for class org.jpmml.xgboost.
FeatureMap.Entry
exitNode(Node)
- Method in class org.jpmml.xgboost.visitors.
TreeModelCompactor
exitTreeModel(TreeModel)
- Method in class org.jpmml.xgboost.visitors.
TreeModelCompactor
F
FeatureMap
- Class in
org.jpmml.xgboost
FeatureMap()
- Constructor for class org.jpmml.xgboost.
FeatureMap
FeatureMap.Entry
- Class in
org.jpmml.xgboost
FeatureMap.Entry.Type
- Enum in
org.jpmml.xgboost
forValue(String)
- Static method in class org.jpmml.xgboost.
ByteOrderUtil
fromString(String)
- Static method in enum org.jpmml.xgboost.
FeatureMap.Entry.Type
G
GBTree
- Class in
org.jpmml.xgboost
GBTree()
- Constructor for class org.jpmml.xgboost.
GBTree
GeneralizedLinearRegression
- Class in
org.jpmml.xgboost
GeneralizedLinearRegression()
- Constructor for class org.jpmml.xgboost.
GeneralizedLinearRegression
getAlgorithmName()
- Method in class org.jpmml.xgboost.
Dart
getAlgorithmName()
- Method in class org.jpmml.xgboost.
GBTree
getAlgorithmName()
- Method in class org.jpmml.xgboost.
GradientBooster
getEntries()
- Method in class org.jpmml.xgboost.
FeatureMap
getName()
- Method in class org.jpmml.xgboost.
FeatureMap.Entry
getNativeConfiguration()
- Method in interface org.jpmml.xgboost.
HasXGBoostOptions
getType()
- Method in class org.jpmml.xgboost.
FeatureMap.Entry
getValue()
- Method in class org.jpmml.xgboost.
FeatureMap.Entry
GradientBooster
- Class in
org.jpmml.xgboost
GradientBooster()
- Constructor for class org.jpmml.xgboost.
GradientBooster
H
HasXGBoostOptions
- Interface in
org.jpmml.xgboost
HingeClassification
- Class in
org.jpmml.xgboost
HingeClassification()
- Constructor for class org.jpmml.xgboost.
HingeClassification
I
inverseExp(float)
- Static method in class org.jpmml.xgboost.
ObjFunction
inverseLogit(float)
- Static method in class org.jpmml.xgboost.
ObjFunction
is_leaf()
- Method in class org.jpmml.xgboost.
Node
isEmpty()
- Method in class org.jpmml.xgboost.
RegTree
L
LambdaMART
- Class in
org.jpmml.xgboost
LambdaMART()
- Constructor for class org.jpmml.xgboost.
LambdaMART
leaf_value()
- Method in class org.jpmml.xgboost.
Node
Learner
- Class in
org.jpmml.xgboost
Learner()
- Constructor for class org.jpmml.xgboost.
Learner
LinearRegression
- Class in
org.jpmml.xgboost
LinearRegression()
- Constructor for class org.jpmml.xgboost.
LinearRegression
load(XGBoostDataInput)
- Method in class org.jpmml.xgboost.
Dart
load(XGBoostDataInput)
- Method in class org.jpmml.xgboost.
GBTree
load(XGBoostDataInput)
- Method in class org.jpmml.xgboost.
Learner
load(XGBoostDataInput)
- Method in interface org.jpmml.xgboost.
Loadable
load(XGBoostDataInput)
- Method in class org.jpmml.xgboost.
Node
load(XGBoostDataInput)
- Method in class org.jpmml.xgboost.
NodeStat
load(XGBoostDataInput)
- Method in class org.jpmml.xgboost.
RegTree
Loadable
- Interface in
org.jpmml.xgboost
loadFeatureMap(InputStream)
- Static method in class org.jpmml.xgboost.
XGBoostUtil
loadLearner(InputStream)
- Static method in class org.jpmml.xgboost.
XGBoostUtil
loadLearner(InputStream, ByteOrder, String)
- Static method in class org.jpmml.xgboost.
XGBoostUtil
loadLearner(DIS, String)
- Static method in class org.jpmml.xgboost.
XGBoostUtil
LogisticRegression
- Class in
org.jpmml.xgboost
LogisticRegression()
- Constructor for class org.jpmml.xgboost.
LogisticRegression
M
Main
- Class in
org.jpmml.xgboost
Main()
- Constructor for class org.jpmml.xgboost.
Main
main(String...)
- Static method in class org.jpmml.xgboost.
Main
MultinomialLogisticRegression
- Class in
org.jpmml.xgboost
MultinomialLogisticRegression(int)
- Constructor for class org.jpmml.xgboost.
MultinomialLogisticRegression
N
Node
- Class in
org.jpmml.xgboost
Node()
- Constructor for class org.jpmml.xgboost.
Node
NodeStat
- Class in
org.jpmml.xgboost
NodeStat()
- Constructor for class org.jpmml.xgboost.
NodeStat
num_class()
- Method in class org.jpmml.xgboost.
Classification
num_class()
- Method in class org.jpmml.xgboost.
Learner
num_features()
- Method in class org.jpmml.xgboost.
Learner
num_trees()
- Method in class org.jpmml.xgboost.
GBTree
O
obj()
- Method in class org.jpmml.xgboost.
Learner
ObjFunction
- Class in
org.jpmml.xgboost
ObjFunction()
- Constructor for class org.jpmml.xgboost.
ObjFunction
OPTION_BYTE_ORDER
- Static variable in interface org.jpmml.xgboost.
HasXGBoostOptions
OPTION_CHARSET
- Static variable in interface org.jpmml.xgboost.
HasXGBoostOptions
OPTION_COMPACT
- Static variable in interface org.jpmml.xgboost.
HasXGBoostOptions
OPTION_NAN_AS_MISSING
- Static variable in interface org.jpmml.xgboost.
HasXGBoostOptions
OPTION_NTREE_LIMIT
- Static variable in interface org.jpmml.xgboost.
HasXGBoostOptions
org.jpmml.xgboost
- package org.jpmml.xgboost
org.jpmml.xgboost.visitors
- package org.jpmml.xgboost.visitors
P
PoissonRegression
- Class in
org.jpmml.xgboost
PoissonRegression()
- Constructor for class org.jpmml.xgboost.
PoissonRegression
probToMargin(float)
- Method in class org.jpmml.xgboost.
BinomialLogisticRegression
probToMargin(float)
- Method in class org.jpmml.xgboost.
GeneralizedLinearRegression
probToMargin(float)
- Method in class org.jpmml.xgboost.
LogisticRegression
probToMargin(float)
- Method in class org.jpmml.xgboost.
ObjFunction
R
readFloat()
- Method in class org.jpmml.xgboost.
XGBoostDataInput
readFloatArray(int)
- Method in class org.jpmml.xgboost.
XGBoostDataInput
readFloatVector()
- Method in class org.jpmml.xgboost.
XGBoostDataInput
readInt()
- Method in class org.jpmml.xgboost.
XGBoostDataInput
readIntArray(int)
- Method in class org.jpmml.xgboost.
XGBoostDataInput
readIntVector()
- Method in class org.jpmml.xgboost.
XGBoostDataInput
readLong()
- Method in class org.jpmml.xgboost.
XGBoostDataInput
readObjectArray(Class<? extends E>, int)
- Method in class org.jpmml.xgboost.
XGBoostDataInput
readObjectVector(Class<? extends E>)
- Method in class org.jpmml.xgboost.
XGBoostDataInput
readReserved(int)
- Method in class org.jpmml.xgboost.
XGBoostDataInput
readString()
- Method in class org.jpmml.xgboost.
XGBoostDataInput
readStringArray(int)
- Method in class org.jpmml.xgboost.
XGBoostDataInput
readStringMap()
- Method in class org.jpmml.xgboost.
XGBoostDataInput
readStringVector()
- Method in class org.jpmml.xgboost.
XGBoostDataInput
Regression
- Class in
org.jpmml.xgboost
Regression()
- Constructor for class org.jpmml.xgboost.
Regression
RegTree
- Class in
org.jpmml.xgboost
RegTree()
- Constructor for class org.jpmml.xgboost.
RegTree
S
SERIALIZATION_HEADER
- Static variable in class org.jpmml.xgboost.
XGBoostUtil
split_cond()
- Method in class org.jpmml.xgboost.
Node
split_index()
- Method in class org.jpmml.xgboost.
Node
T
toXGBoostSchema(Schema)
- Method in class org.jpmml.xgboost.
Learner
tree_weights()
- Method in class org.jpmml.xgboost.
Dart
tree_weights()
- Method in class org.jpmml.xgboost.
GBTree
TreeModelCompactor
- Class in
org.jpmml.xgboost.visitors
TreeModelCompactor()
- Constructor for class org.jpmml.xgboost.visitors.
TreeModelCompactor
trees()
- Method in class org.jpmml.xgboost.
GBTree
V
valueOf(String)
- Static method in enum org.jpmml.xgboost.
FeatureMap.Entry.Type
Returns the enum constant of this type with the specified name.
values()
- Static method in enum org.jpmml.xgboost.
FeatureMap.Entry.Type
Returns an array containing the constants of this enum type, in the order they are declared.
X
XGBoostDataInput
- Class in
org.jpmml.xgboost
XGBoostDataInput(InputStream, String)
- Constructor for class org.jpmml.xgboost.
XGBoostDataInput
XGBoostEncoder
- Class in
org.jpmml.xgboost
XGBoostEncoder()
- Constructor for class org.jpmml.xgboost.
XGBoostEncoder
XGBoostUtil
- Class in
org.jpmml.xgboost
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